期刊文献+

Identification of key genes and metabolites involved in meat quality performance in Qinchuan cattle by WGCNA

下载PDF
导出
摘要 Understanding the genetic and metabolic elements that impact meat quality is crucial to improving production and meeting consumer demands in the beef sector.Differences in meat quality among various muscle areas in beef cattle can impact pricing in the market.Despite progress in genomics,the specific genes and metabolites that affect meat quality characteristics in Qinchuan cattle remain inadequately understood.Therefore,this study aims to evaluate the meat quality characteristics of four specific muscle locations(tenderloin,striploin,high rib,and ribeye muscles)in Qinchuan bulls,including 10 traits(total protein content(TPC),intramuscular fat(IMF),non-esterified fatty acid(NEFA),meat color(L*,a*,and b*),shear force(SF),cooking loss(CL),pH0,and pH24).This experiment uses transcriptome,metabolome sequencing,and sophisticated analytical methodologies such as weighted gene co-expression network analysis(WGCNA)and protein–protein interaction networks(PPI)to identify the key genes and metabolites associated with specific traits.The findings highlight three notable genes(NDUFAB1,NDUFA12,and NDUFB7)linked to intramuscular fat(IMF),three key genes(CSRP3,ACAA3,and ACADVL)correlated with non-esterified fatty acids(NEFA),and one crucial gene(CREBBP)influencing meat color.In conclusion,this investigation offers a new perspective on the differences in bovine muscle locations and contributes to the molecular understanding of bovine meat quality.Future research endeavors could delve deeper into the identified genes and pathways to enhance beef cattle’s quality and yield.
出处 《Journal of Integrative Agriculture》 SCIE CAS CSCD 2024年第11期3923-3937,共15页 农业科学学报(英文版)
基金 supported by the Science and Technology Special Project of the Ministry of Agriculture and Rural Affairs,China(19211178) the National Beef and Yak Industrial Technology System,China(CARS-37) the Shaanxi Livestock and Poultry Breeding Double-chain Fusion Key Project,China(2022GD-TSLD-46-0102) the Key Research and Development Program of Shaanxi Province,China(2022NY-050 and 2022ZDLNY01-01)。
  • 相关文献

参考文献1

二级参考文献24

  • 1Kerstens HH, Kollers S, Kommadath A, Del Rosario M, Dibbits B, Kinders SM, Crooijmans RP, Groenen MA. Mining for single nucleotide polymorphisms in pig genome sequence data. BMC Genomics, 2009, 10: 4.
  • 2Hausman G J, Campion DR, Buonomo FC. Concentration of insulin-like growth factors (IGF-I and IGF-II) in tissues of developing lean and obese pig fetuses. Growth Dev Aging, 1991, 55(1): 43-52.
  • 3Stinckens A, Luyten T, Bijttebier J, van den Maagdenberg K, Dieltiens D, Janssens S, de Smet S, Georges M, Buys N Characterization of the complete porcine MSTN gene and expression levels in pig breeds differing in muscularity. Anim Genet, 2008, 39(6): 586-596.
  • 4Burgos C, Carrodeguas JA, Moreno C, Altarriba J, Tarrafeta L, Barcelona JA, L6pez-Buesa P. Allelic incidence in several pig breeds of a missense variant of pig melano- cortin-4 receptor (MC4R) gene associated with carcass and productive traits; its relation to IGF2 genotype. Meat Sci, 2006, 73(1): 144-150.
  • 5Stachowiak M, Szydlowski M, Obarzanek-Fojt M, Swi- tonski M. An effect of a missense mutation in the porcine melanocortin-4 receptor (MC4R) gene on production traits in Polish pig breeds is doubtful. Anim Genet, 2006, 37(1): 55-57.
  • 6Song C, Gao B, Teng Y, Wang X, Wang Z, Li Q, Mi H, Jing R, Mao J. MspI polymorphisms in the 3rd intron of the swine POU1F1 gene and their associations with growth performance. JAppl Genet, 2005, 46(3): 285-289.
  • 7Yu TP, Sun HS, Wahls S, Sanchez-Serrano I, Rothschild MF, Tuggle CK. Cloning of the full length pig PIT1 (POU1F1) CDNA and a novel alternative PIT1 transcript, and functional studies of their encoded proteins. Anita Biotechnol, 2001, 12(1): 1-19.
  • 8He K, Wang Q, Yang Y, Wang MPan Y. A comparative study of mouse hepatic and intestinal gene expression profiles under PPAKalpha knockout by gene set enrich- ment analysis. PPAR Res, 2011,2011: 629728.
  • 9Moffett SP. The PPA R pathway to obesity and type-2 diabetes: A multi-locus approach to understanding complex disease. University of Pittsburgh, 2002.
  • 10Carrozzo R, Dionisi-Vici C, Steuerwald U, Lucioli S, Deodato F, Di Giandomenico S, Bertini E, Franke B, Kluijtmans LA, Meschini MC, Rizzo C, Piemonte F,Rodenburg R, Santer R, Santorelli FM, van Rooij A, de Vermunt Koning D, Morava E, Wevers RA. SUCLA2 mutations are associated with mild methylmalonic aciduria, Leigh-like encephalomyopathy, dystonia and deafness. Brain, 2007, 130(Pt 3)" 862-874.

共引文献7

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部